Bandwidth-constrained distributed estimation for wireless sensor Networks-part I: Gaussian case

Authors:
A. Ribeiro;G.B. Giannakis
Affiliations:
Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN, USA;-
Venue:
IEEE Transactions on Signal Processing
Year:
2006

Citing 0
Cited 32

Distributed event-region detection in wireless sensor networks

EURASIP Journal on Advances in Signal Processing
Network lifetime maximization for estimation in multihop wireless sensor networks

IEEE Transactions on Signal Processing
Power constrained distributed estimation with correlated sensor data

IEEE Transactions on Signal Processing
Distributed estimation in energy-constrained wireless sensor networks

IEEE Transactions on Signal Processing
Energy planning for progressive estimation in multihop sensor networks

IEEE Transactions on Signal Processing
Power constrained distributed estimation with cluster-based sensor collaboration

IEEE Transactions on Wireless Communications
A distributed solution to estimation problems in wireless sensor networks leveraging broadcast communication

WONS'09 Proceedings of the Sixth international conference on Wireless On-Demand Network Systems and Services
Optimal rate allocation for multi-sensor distributed estimation

CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Quantization, channel compensation, and energy allocation for estimation in wireless sensor networks

WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Hyperplane-based vector quantization for distributed estimation in wireless sensor networks

IEEE Transactions on Information Theory
Target identification and distributed cooperative control of sensor networks

ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Estimation over fading channels with limited feedback using distributed sensing

IEEE Transactions on Signal Processing
Performance limit for distributed estimation systems with identical one-bit quantizers

IEEE Transactions on Signal Processing
Distributed estimation of channel gains in wireless sensor networks

IEEE Transactions on Signal Processing
Error resilient distributed estimation in wireless sensor networks

Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Distributed estimation in sensor networks over binary symmetric channels

Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Distributed estimation over fading MACs with multiple antennas at the fusion center

Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Selective measurement transmission in distributed estimation with data association

IEEE Transactions on Signal Processing
Optimal/near-optimal dimensionality reduction for distributed estimation in homogeneous and certain inhomogeneous scenarios

IEEE Transactions on Signal Processing
A repeated significance test with applications to sequential detection in sensor networks

IEEE Transactions on Signal Processing
Signal recovery with cost-constrained measurements

IEEE Transactions on Signal Processing
Nonparametric one-bit quantizers for distributed estimation

IEEE Transactions on Signal Processing
Energy-efficient cluster-based distributed estimation in wireless sensor networks

MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Linear coherent distributed estimation over unknown channels

Signal Processing
Distributed iterative quantization for interference characterization in wireless networks

Digital Signal Processing
Quantization, channel compensation, and optimal energy allocation for estimation in sensor networks

ACM Transactions on Sensor Networks (TOSN)
Cost minimization of measurement devices under estimation accuracy constraints in the presence of Gaussian noise

Digital Signal Processing
Distributed H∞ state estimation with stochastic parameters and nonlinearities through sensor networks: The finite-horizon case

Automatica (Journal of IFAC)
Decentralized estimation over noisy channels in cluster-based wireless sensor networks

International Journal of Communication Systems
Identification of ARMA models using intermittent and quantized output observations

Automatica (Journal of IFAC)
Adaptive quantizers for estimation

Signal Processing
Fast communication: Distributed H∞ fusion filtering with communication bandwidth constraints

Signal Processing

Quantified Score

Hi-index	35.79

Visualization

Abstract

We study deterministic mean-location parameter estimation when only quantized versions of the original observations are available, due to bandwidth constraints. When the dynamic range of the parameter is small or comparable with the noise variance, we introduce a class of maximum-likelihood estimators that require transmitting just one bit per sensor to achieve an estimation variance close to that of the (clairvoyant) sample mean estimator. When the dynamic range is comparable or larger than the noise standard deviation, we show that an optimum quantization step exists to achieve the best possible variance for a given bandwidth constraint. We will also establish that in certain cases the sample mean estimator formed by quantized observations is preferable for complexity reasons. We finally touch upon algorithm implementation issues and guarantee that all the numerical maximizations required by the proposed estimators are concave.